A Survey on Big Data Analytics (BDA) Implementation and Practices in Medical Libraries of Punjab

Clicks: 1
ID: 313196
2023
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #631 of 705 articles by views in Journal of Computing & Biomedical Informatics

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 705 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
The purpose of this study is to evaluate the perception of medical librarians, their capabilities, and the organizational infrastructure of medical institute and teaching hospital libraries of the Punjab for the convincing implementation of Big Data Analytics (BDA). Among the major objectives of this study were to determine the perceived ease of use, perceived usefulness, behavioral intentions, BDA skills of librarians, current practices, and actual use of BDA in these medical libraries. Survey method was employed to collect data from 156 medical librarians. Collected data was analyzed through SEM-PLS. Results of the study revealed that all the hypotheses were significantly supported (except-H2 and H5). The study showed a positive impact of perceived ease of use on perceived usefulness. Similarly, PU has a significant positive impact on BI, skills and current practices. Furthermore, there is a significant positive relationship between BI and Skills, and between current practices and Performance / actual use.
Reference Key
imported_1777059713_69ebc7816fffc Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Zakria, Khurshid Ahmad, Rubina Bhatti, Yousaf Khan, M. Abrar Khan, Wisal Zafar, Sheeraz Ahmed
Journal Journal of Computing & Biomedical Informatics
Year 2023
DOI
DOI not found
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.